Valuable products are no longer solely physical things, but increasingly information services, where adding value comes down to improving data quality and finding opportunities in data. Data is becoming the lifeblood of tomorrow's data-centric society, in which business and government increasingly depend on making timely sense of data. Today's information technology managers and decision makers need to make informed technology choices for dealing with data in situations and ways that have not arisen before. There is an increased need to analyze the links and connection patterns between data, rather than just the data themselves, which is embodied by the growing interest in graph-shaped data. Though many graph data management technologies are on the market or available as open source, claims on their capabilities need to be made comparable and verifiable.

LDBC brings industry and users together for developing benchmarks whereby the state-of-the-art, and advances in graph data management technologies can be assessed and directed.

This benefits users of data management systems, as they can make better informed decisions, reduce their IT development risk, reduce cost and get a better quality solution for their graph data management problem. It also benefits vendors of data management solutions, as LDBC benchmarks provide clear and visible targets for product improvement, and can show the benefits of new graph data management solutions over existing solutions, which are typically based on the relational model. The challenges that LDBC sets in its benchmarks thus help direct product innovation in the future.

In all, the data-centric society benefits from LDBC by increased efficiency, transparency and healthy competition.